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Vector DBUpstash

Upstash Vector

Serverless vector database for AI search and RAG.

Category
Vector DB
Pricing
FREEMIUM
Hosting
Cloud
Platforms
APIWeb
Models
Model-agnostic
Verified
Jun 19, 2026

Upstash Vector is a fully managed, serverless vector database for semantic search, retrieval-augmented generation, and recommendations. It exposes a simple REST API with first-class Python and TypeScript SDKs, stores JSON metadata alongside embeddings for filtered queries, and can generate embeddings for you with built-in models. Billing is pay-as-you-go with a free tier, so there is no infrastructure to provision or scale.

Pros & cons

  • Serverless, pay-per-use pricing
  • Simple REST API + Python/TS SDKs
  • Optional built-in embedding models
  • Metadata filtering on queries
  • Free tier to start
  • Managed-only; not self-hostable
  • Proprietary, not open source
  • Fewer index controls than dedicated DBs

Tags

View all Vector DB
  • View Pinecone details
    Vector DBFREEMIUM

    Pinecone

    Pinecone

    Managed vector database. The industry-default serverless option.

    Fully-managed vector DB built for production RAG and semantic search at scale. Serverless pricing, low-latency reads, integrations across every framework. Most Blokz-adjacent AI teams reach for it first.

    Fully managed, zero-ops serverless
    No self-host option
    • managed
    • serverless
    • rag
    • semantic-search
  • View Qdrant details
    Vector DBFREEMIUMOpen core

    Qdrant

    Qdrant

    Open-source, Rust-based vector DB. Fast, predictable, self-hostable.

    Vector database written in Rust with a strong focus on filtering, payloads, and predictable latency at scale. Self-host on a single binary or use the managed cloud.

    Open source, written in Rust
    More ops than fully-managed rivals
    • open-source
    • rust
    • self-hosted
    • fast
  • View Turbopuffer details
    Vector DBPAID

    Turbopuffer

    Turbopuffer

    Object-storage-backed vector DB. Serverless economics at scale.

    Bills like S3 — cold rest, warm reads, no per-namespace minimums. Designed for very-large, mostly-cold vector workloads where you can't justify keeping every index in RAM. Operated by Notion in production.

    Object-storage economics, S3-like billing
    Cold reads have higher latency
    • serverless
    • object-storage
    • cold-storage
    • scale
  • View Chroma details
    Vector DBFREEMIUMOpen core

    Chroma

    Chroma

    Embedded vector DB. Pip-install, prototype, scale later.

    The low-friction starting point — Chroma runs embedded inside your Python process or as a hosted service. Great for prototypes and small-to-medium RAG apps; upgrade to a managed option when you outgrow it.

    Pip-install, embedded in-process
    Not built for massive scale
    • open-source
    • embedded
    • prototype
    • python